Data Scientist (Product)

The Role

We are looking for a Data Scientist who can leverage statistical tools, deep learning, and troves of marketing data to build innovative, reproducible data solutions for our teams and clients. In this role, you’ll work directly with Product and partnering cross-functionally with Data Strategy, Engineering, and Reporting Solutions to design machine learning workflows and statistical models that improve our clients’ marketing performance. The successful candidate will work collaboratively to develop models and integrate them into intuitive, user-friendly applications that deliver actionable insights. If you enjoy bridging the gap between cutting-edge data science and user-centric applications, this could be the perfect match!

Your solutions will scale as productized apps used by our industry-leading marketers to unlock new performance opportunities for our clients. You will have the opportunity to challenge the limits of what’s possible with data science and performance marketing, designing novel solutions through Time Series Analysis, Experimental Design, A/B Testing, Optimization, Reinforcement Learning, LLMs, etc.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

-Half-day Fridays year round

-Unlimited PTO

-Extended Holiday break (Winter)

-Flexible schedules

-Work from anywhere options*

-100% paid parental leave

-401(k) matching

-Medical, Dental, Vision, Life, Pet Insurance

-Sponsored life insurance

-Short Term Disability insurance  and additional voluntary insurance

-Annual Class Pass Credits and more!

The anticipated annual salary for this role will range from $117,500 - $132,500, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget.  The total compensation package for this role will include benefits (listed above).

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

#LI-JJ

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• Working closely with Product Development to identify high-impact business problems that can be solved by data science and machine learning methods
• Building always-on solutions to optimize ad spend on myriad digital platforms
• Developing multi-agent and hierarchical systems to improve multiple aspects of clients’ marketing performance
• Conducting incrementality tests and building Media-Mix Models (MMMs)
• Maintaining data science and machine learning workflows by fixing bugs or improving model performance if required
• Articulating complex, technical results and methods to internal stakeholders
• Occasionally join client meetings to understand client data problems and propose innovative solutions
• Design, develop, and deploy machine learning models and statistical analyses to solve complex business problems.
• Build and maintain front-end applications or dashboards to visualize and operationalize model outputs
• Collaborate with back-end engineers to integrate APIs and ensure seamless data flow between models and applications
• Create interactive user interfaces (UIs) that effectively communicate insights and model results

• Degree in Computer Science, Engineering, Statistics, Economics, or any related quantitative discipline preferred
• M.S. + 2 years of experience or B.S. + 4 years of relevant experience
• Strong programming skills in R, Python & SQL
• Work experience within the digital advertising or MarTech field
• Demonstrable successes in delivering data-driven products, including being involved in all aspects of the product development life cycle
• A deep understanding of statistical modeling and machine learning techniques
• Experience solving complex optimization problems, preferably with reinforcement learning
• Strong working knowledge with large data sets, preferably in the digital marketing domain 
• Experience with cloud OLAP database platforms such as BigQuery and Snowflake
• Strong communication skills, with both technical and non-technical audiences
• Ability to work beyond familiar algorithms - to get out of one’s comfort zone and earnestly seek to integrate the best solutions to business challenges
• Sincere interest in working towards the data-driven future of digital marketing within a fast-growing organization

• Solid knowledge of working with marketing and/or user acquisition data across a variety of industries
• Experience with multi-armed bandit and biddings problems in a marketing setting
• Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
• Experience building solutions for multi-agent or hierarchical systems
• Familiarity working with and building APIs
• Working experience with front-end development (Shiny, Dash, D3, React, CSS, JavaScript, etc.)
• Familiarity with CI/CD and MLOps practices

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.